Yu Xianwang
Yu Xianwang
Just like mmdection or mmsegmetation, it would be nice if each method of the paper could have a corresponding documetation.
Hi, I'm trying to reproduce your results. Could you please provide the best checkpoint file? Thanks in advance!
I've noticed that you have mentioned in the abstract that 31.6 is mean Intersection Over Union. I wonder if 31.6 is Intersection Over Union (without background) not mean Intersection Over...
Congratulations to such an excellent job! I'm looking forward to your project of the full code. Thanks in advance!
When I visualize the data nuScenes_panopticbev/bev_msk, I'm confused that all the bev masks are zero.
Congratulations to such an excelletn job! I'm looking forward to your project of the full code. Thanks in advance!
$\alpha_t$ in the focal loss is predefined in the ‘weight’ of torch.nn.CrossEntropyLoss. So I think the 'alpha' in the ./utils/loss/FocalLoss doesn't need to be added again. Did I get it...
Hi, I met an error while using `sh samples/bevformer/plugin/tiny/trt_evaluate.sh`. It seems like something went wrong during `context = engine.create_execution_context()` and I found the `context` is `None`. ``` File "tools/bevformer/evaluate_trt.py", line...